Senior Data Engineer – Product
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Job Description
Senior Data Engineer at Feedzai focusing on scaling big data processing and stability of systems. Collaborating with teams on data science frameworks and ensuring efficient performance of Spark jobs.
Responsibilities:
- Re-architect and scale existing big data processing components powering DSF.
- Analyse workload patterns (Spark jobs, notebook activity, DS API usage) and drive performance, reliability, and cost improvements.
- Ensure stability of Spark jobs running on EMR or Kubernetes clusters.
- Operate and evolve Hadoop ecosystem components (HDFS, YARN) and Spark runtimes.
- Maintain and improve ingestion pipelines between Runtime and DSF (Firehose, Glue → S3).
- Improve the developer and power-user experience across JupyterLabs and the DS API.
- Collaborate with product engineers, data scientists, and platform teams on DSF roadmap execution.
- Own services throughout their lifecycle following DevOps practices (“you build it, you run it”).
Requirements:
- 5+ years of experience building and operating distributed big data systems
- Strong experience with Apache Spark - tuning, debugging, orchestration
- Strong programming fundamentals (Java required; Scala or Python a plus)
- Solid knowledge of the Hadoop ecosystem (HDFS, YARN)
- Experience operating Linux-based systems in cloud environments
- Familiarity with JupyterHub/JupyterLabs workflows
- Experience designing and operating ETL/ELT pipelines
- Comfort with continuous delivery, monitoring, and on-call responsibilities
- Ability to work autonomously on complex technical challenges
Benefits:
- Health insurance and wellness programs
- Professional development opportunities
- Flexible working hours
- Remote work options
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